Convert configure to python.
PiperOrigin-RevId: 163114551
diff --git a/configure.py b/configure.py
new file mode 100644
index 0000000..fac00d1
--- /dev/null
+++ b/configure.py
@@ -0,0 +1,950 @@
+# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# ==============================================================================
+"""configure script to get build parameters from user."""
+
+from __future__ import absolute_import
+from __future__ import division
+from __future__ import print_function
+
+import errno
+import os
+import platform
+import re
+import site
+import subprocess
+import sys
+
+_TF_BAZELRC = '.tf_configure.bazelrc'
+_DEFAULT_CUDA_VERSION = '8.0'
+_DEFAULT_CUDNN_VERSION = '6'
+_DEFAULT_CUDA_COMPUTE_CAPABILITIES = '3.5,5.2'
+_DEFAULT_CUDA_PATH = '/usr/local/cuda'
+_DEFAULT_CUDA_PATH_LINUX = '/opt/cuda'
+_DEFAULT_CUDA_PATH_WIN = ('C:/Program Files/NVIDIA GPU Computing '
+ 'Toolkit/CUDA/v%s' % _DEFAULT_CUDA_VERSION)
+_TF_OPENCL_VERSION = '1.2'
+_DEFAULT_COMPUTECPP_TOOLKIT_PATH = '/usr/local/computecpp'
+
+
+def is_windows():
+ return platform.system() == 'Windows'
+
+
+def is_linux():
+ return platform.system() == 'Linux'
+
+
+def is_macos():
+ return platform.system() == 'Darwin'
+
+
+def is_ppc64le():
+ return platform.machine() == 'ppc64le'
+
+
+def get_input(question):
+ try:
+ try:
+ answer = raw_input(question)
+ except NameError:
+ answer = input(question) # pylint: disable=bad-builtin
+ except EOFError:
+ answer = ''
+ return answer
+
+
+def symlink_force(target, link_name):
+ """Force symlink, equivalent of 'ln -sf'.
+
+ Args:
+ target: items to link to.
+ link_name: name of the link.
+ """
+ try:
+ os.symlink(target, link_name)
+ except OSError as e:
+ if e.errno == errno.EEXIST:
+ os.remove(link_name)
+ os.symlink(target, link_name)
+ else:
+ raise e
+
+
+def sed_in_place(filename, old, new):
+ """Replace old string with new string in file.
+
+ Args:
+ filename: string for filename.
+ old: string to replace.
+ new: new string to replace to.
+ """
+ with open(filename, 'r') as f:
+ filedata = f.read()
+ newdata = filedata.replace(old, new)
+ with open(filename, 'w') as f:
+ f.write(newdata)
+
+
+def remove_line_with(filename, token):
+ """Remove lines that contain token from file.
+
+ Args:
+ filename: string for filename.
+ token: string token to check if to remove a line from file or not.
+ """
+ with open(filename, 'r') as f:
+ filedata = f.read()
+
+ with open(filename, 'w') as f:
+ for line in filedata.strip().split('\n'):
+ if token not in line:
+ f.write(line + '\n')
+
+
+def write_to_bazelrc(line):
+ with open(_TF_BAZELRC, 'a') as f:
+ f.write(line + '\n')
+
+
+def write_action_env_to_bazelrc(var_name, var):
+ write_to_bazelrc('build --action_env %s="%s"' % (var_name, str(var)))
+
+
+def run_shell(cmd):
+ return subprocess.check_output(cmd, shell=True).decode('UTF-8').strip()
+
+
+def cygpath(path):
+ """Convert path from posix to windows."""
+ return run_shell('cygpath -m "%s"' % path)
+
+
+def get_python_path(environ_cp):
+ """Get the python site package paths."""
+ python_paths = []
+ if environ_cp.get('PYTHONPATH'):
+ python_paths = environ_cp.get('PYTHONPATH').split(':')
+ try:
+ library_paths = site.getsitepackages()
+ except AttributeError:
+ from distutils.sysconfig import get_python_lib # pylint: disable=g-import-not-at-top
+ library_paths = [get_python_lib()]
+ all_paths = set(python_paths + library_paths)
+
+ paths = []
+ for path in all_paths:
+ if os.path.isdir(path):
+ paths.append(path)
+ return paths
+
+
+def setup_python(environ_cp):
+ """Setup python related env variables."""
+ # Get PYTHON_BIN_PATH, default is the current running python.
+ default_python_bin_path = sys.executable
+ ask_python_bin_path = ('Please specify the location of python. [Default is '
+ '%s]: ') % default_python_bin_path
+ while True:
+ python_bin_path = get_from_env_or_user_or_default(
+ environ_cp, 'PYTHON_BIN_PATH', ask_python_bin_path,
+ default_python_bin_path)
+ # Check if the path is valid
+ if (os.path.isfile(python_bin_path) and os.access(
+ python_bin_path, os.X_OK)) or (os.path.isdir(python_bin_path)):
+ break
+ elif not os.path.exists(python_bin_path):
+ print('Invalid python path: %s cannot be found.' % python_bin_path)
+ else:
+ print('%s is not executable. Is it the python binary?' % python_bin_path)
+ environ_cp['PYTHON_BIN_PATH'] = ''
+
+ # Get PYTHON_LIB_PATH
+ python_lib_path = environ_cp.get('PYTHON_LIB_PATH')
+ if not python_lib_path:
+ python_lib_paths = get_python_path(environ_cp)
+ if environ_cp.get('USE_DEFAULT_PYTHON_LIB_PATH') == '1':
+ environ_cp['PYTHON_LIB_PATH'] = python_lib_paths[0]
+ else:
+ print('Found possible Python library paths:\n%s' %
+ '\n'.join(python_lib_paths))
+ default_python_lib_path = python_lib_paths[0]
+ python_lib_path = get_input(
+ 'Please input the desired Python library path to use. Default is %s'
+ % python_lib_paths[0])
+ if not python_lib_path:
+ python_lib_path = default_python_lib_path
+ environ_cp['PYTHON_LIB_PATH'] = python_lib_path
+
+ python_major_version = sys.version_info[0]
+ # Convert python path to Windows style before writing into bazel.rc
+ if is_windows():
+ python_bin_path = cygpath(python_bin_path)
+ python_lib_path = cygpath(python_lib_path)
+
+ # Set-up env variables used by python_configure.bzl
+ write_action_env_to_bazelrc('PYTHON_BIN_PATH', python_bin_path)
+ write_action_env_to_bazelrc('PYTHON_LIB_PATH', python_lib_path)
+ write_to_bazelrc('build --define PYTHON_BIN_PATH="%s"' % python_bin_path)
+ write_to_bazelrc('build --define PYTHON_LIB_PATH="%s"' % python_lib_path)
+ write_to_bazelrc('build --force_python=py%s' % python_major_version)
+ write_to_bazelrc('build --host_force_python=py%s' % python_major_version)
+ write_to_bazelrc('build --python%s_path=\"%s"' % (python_major_version,
+ python_bin_path))
+ write_to_bazelrc('test --force_python=py%s' % python_major_version)
+ write_to_bazelrc('test --host_force_python=py%s' % python_major_version)
+ write_to_bazelrc('test --define PYTHON_BIN_PATH="%s"' % python_bin_path)
+ write_to_bazelrc('test --define PYTHON_LIB_PATH="%s"' % python_lib_path)
+ write_to_bazelrc('run --define PYTHON_BIN_PATH="%s"' % python_bin_path)
+ write_to_bazelrc('run --define PYTHON_LIB_PATH="%s"' % python_lib_path)
+ environ_cp['PYTHON_BIN_PATH'] = python_bin_path
+
+ # Write tools/python_bin_path.sh
+ with open('tools/python_bin_path.sh', 'w') as f:
+ f.write('export PYTHON_BIN_PATH="%s"' % python_bin_path)
+
+
+def reset_tf_configure_bazelrc():
+ """Reset file that contains customized config settings."""
+ open(_TF_BAZELRC, 'w').close()
+
+ home = os.path.expanduser('~')
+ if not os.path.exists('.bazelrc'):
+ if os.path.exists(os.path.join(home, '.bazelrc')):
+ with open('.bazelrc', 'a') as f:
+ f.write('import %s/.bazelrc\n' % home)
+ else:
+ open('.bazelrc', 'w').close()
+
+ remove_line_with('.bazelrc', 'tf_configure')
+ with open('.bazelrc', 'a') as f:
+ f.write('import %workspace%/.tf_configure.bazelrc\n')
+
+
+def run_gen_git_source(environ_cp):
+ """Run the gen_git_source to create links.
+
+ The links are for bazel to track dependencies for git hash propagation.
+
+ Args:
+ environ_cp: copy of the os.environ.
+ """
+ cmd = '%s tensorflow/tools/git/gen_git_source.py --configure %s' % (
+ environ_cp.get('PYTHON_BIN_PATH'), os.getcwd())
+ os.system(cmd)
+
+
+def cleanup_makefile():
+ """Delete any leftover BUILD files from the Makefile build.
+
+ These files could interfere with Bazel parsing.
+ """
+ makefile_download_dir = 'tensorflow/contrib/makefile/downloads'
+ if os.path.isdir(makefile_download_dir):
+ for root, _, filenames in os.walk(makefile_download_dir):
+ for f in filenames:
+ if f.endswith('BUILD'):
+ os.remove(os.path.join(root, f))
+
+
+def get_var(environ_cp,
+ var_name,
+ query_item,
+ enabled_by_default,
+ question=None,
+ yes_reply=None,
+ no_reply=None):
+ """Get boolean input from user.
+
+ If var_name is not set in env, ask user to enable query_item or not. If the
+ response is empty, use the default.
+
+ Args:
+ environ_cp: copy of the os.environ.
+ var_name: string for name of environment variable, e.g. "TF_NEED_HDFS".
+ query_item: string for feature related to the variable, e.g. "Hadoop File
+ System".
+ enabled_by_default: boolean for default behavior.
+ question: optional string for how to ask for user input.
+ yes_reply: optionanl string for reply when feature is enabled.
+ no_reply: optional string for reply when feature is disabled.
+
+ Returns:
+ boolean value of the variable.
+ """
+ if not question:
+ question = 'Do you wish to build TensorFlow with %s support?' % query_item
+ if not yes_reply:
+ yes_reply = '%s support will be enabled for TensorFlow.' % query_item
+ if not no_reply:
+ no_reply = 'No %s' % yes_reply
+
+ yes_reply += '\n'
+ no_reply += '\n'
+
+ if enabled_by_default:
+ question += ' [Y/n]: '
+ else:
+ question += ' [y/N]: '
+
+ var = environ_cp.get(var_name)
+ while var is None:
+ user_input_origin = get_input(question)
+ user_input = user_input_origin.strip().lower()
+ if user_input == 'y':
+ print(yes_reply)
+ var = True
+ elif user_input == 'n':
+ print(no_reply)
+ var = False
+ elif not user_input:
+ if enabled_by_default:
+ print(yes_reply)
+ var = True
+ else:
+ print(no_reply)
+ var = False
+ else:
+ print('Invalid selection: %s' % user_input_origin)
+ return var
+
+
+def set_build_var(environ_cp, var_name, query_item, option_name,
+ enabled_by_default):
+ """Set if query_item will be enabled for the build.
+
+ Ask user if query_item will be enabled. Default is used if no input is given.
+ Set subprocess environment variable and write to .bazelrc if enabled.
+
+ Args:
+ environ_cp: copy of the os.environ.
+ var_name: string for name of environment variable, e.g. "TF_NEED_HDFS".
+ query_item: string for feature related to the variable, e.g. "Hadoop File
+ System".
+ option_name: string for option to define in .bazelrc.
+ enabled_by_default: boolean for default behavior.
+ """
+
+ var = str(int(get_var(environ_cp, var_name, query_item, enabled_by_default)))
+ environ_cp[var_name] = var
+ if var == '1':
+ write_to_bazelrc('build --define %s=true' % option_name)
+
+
+def set_action_env_var(environ_cp,
+ var_name,
+ query_item,
+ enabled_by_default,
+ question=None,
+ yes_reply=None,
+ no_reply=None):
+ """Set boolean action_env variable.
+
+ Ask user if query_item will be enabled. Default is used if no input is given.
+ Set environment variable and write to .bazelrc.
+
+ Args:
+ environ_cp: copy of the os.environ.
+ var_name: string for name of environment variable, e.g. "TF_NEED_HDFS".
+ query_item: string for feature related to the variable, e.g. "Hadoop File
+ System".
+ enabled_by_default: boolean for default behavior.
+ question: optional string for how to ask for user input.
+ yes_reply: optionanl string for reply when feature is enabled.
+ no_reply: optional string for reply when feature is disabled.
+ """
+ var = int(
+ get_var(environ_cp, var_name, query_item, enabled_by_default, question,
+ yes_reply, no_reply))
+
+ write_action_env_to_bazelrc(var_name, var)
+ environ_cp[var_name] = str(var)
+
+
+def check_bazel_version(min_version):
+ """Check installed bezel version is at least min_version.
+
+ Args:
+ min_version: string for minimum bazel version.
+ """
+ try:
+ curr_version = run_shell('bazel version')
+ except subprocess.CalledProcessError:
+ print('Cannot find bazel. Please install bazel.')
+ sys.exit(0)
+
+ for line in curr_version.split('\n'):
+ if 'Build label: ' in line:
+ curr_version = line.split('Build label: ')[1]
+ break
+
+ min_version_segments = min_version.split('.')
+ curr_version_segments = curr_version.split('.')
+
+ # Check if current bazel version can be detected properly.
+ for seg in curr_version_segments:
+ if not seg.isdigit():
+ print('WARNING: current bazel installation is not a release version.')
+ print('Make sure you are running at least bazel %s' % min_version)
+ return
+
+ min_version_str = ''.join(['%03d' % int(seg) for seg in min_version_segments])
+ curr_version_str = ''.join(
+ ['%03d' % int(seg) for seg in curr_version_segments])
+ if int(curr_version_str) < int(min_version_str):
+ print('Please upgrade your bazel installation to version %s or higher to '
+ 'build TensorFlow!' % min_version)
+ sys.exit(0)
+
+
+def set_cc_opt_flags(environ_cp):
+ """Set up architecture-dependent optimization flags.
+
+ Also append CC optimization flags to bazel.rc..
+
+ Args:
+ environ_cp: copy of the os.environ.
+ """
+ if is_ppc64le():
+ # gcc on ppc64le does not support -march, use mcpu instead
+ default_cc_opt_flags = '-mcpu=native'
+ else:
+ default_cc_opt_flags = '-march=native'
+ question = ('Please specify optimization flags to use during compilation when'
+ ' bazel option "--config=opt" is specified [Default is %s]: '
+ ) % default_cc_opt_flags
+ cc_opt_flags = get_from_env_or_user_or_default(environ_cp, 'CC_OPT_FLAGS',
+ question, default_cc_opt_flags)
+ for opt in cc_opt_flags.split():
+ write_to_bazelrc('build:opt --cxxopt=%s --copt=%s' % (opt, opt))
+
+
+def set_tf_cuda_clang(environ_cp):
+ """set TF_CUDA_CLANG action_env.
+
+ Args:
+ environ_cp: copy of the os.environ.
+ """
+ question = 'Do you want to use clang as CUDA compiler?'
+ yes_reply = 'Clang will be used as CUDA compiler.'
+ no_reply = 'nvcc will be used as CUDA compiler.'
+ set_action_env_var(
+ environ_cp,
+ 'TF_CUDA_CLANG',
+ None,
+ False,
+ question=question,
+ yes_reply=yes_reply,
+ no_reply=no_reply)
+
+
+def get_from_env_or_user_or_default(environ_cp, var_name, ask_for_var,
+ var_default):
+ """Get var_name either from env, or user or default.
+
+ If var_name has been set as environment variable, use the preset value, else
+ ask for user input. If no input is provided, the default is used.
+
+ Args:
+ environ_cp: copy of the os.environ.
+ var_name: string for name of environment variable, e.g. "TF_NEED_HDFS".
+ ask_for_var: string for how to ask for user input.
+ var_default: default value string.
+
+ Returns:
+ string value for var_name
+ """
+ var = environ_cp.get(var_name)
+ if not var:
+ var = get_input(ask_for_var)
+ if not var:
+ var = var_default
+ return var
+
+
+def set_clang_cuda_compiler_path(environ_cp):
+ """Set CLANG_CUDA_COMPILER_PATH."""
+ default_clang_path = run_shell('which clang || true')
+ ask_clang_path = ('Please specify which clang should be used as device and '
+ 'host compiler. [Default is %s]: ') % default_clang_path
+
+ while True:
+ clang_cuda_compiler_path = get_from_env_or_user_or_default(
+ environ_cp, 'CLANG_CUDA_COMPILER_PATH', ask_clang_path,
+ default_clang_path)
+ if os.path.exists(clang_cuda_compiler_path):
+ break
+
+ # Reset and retry
+ print('Invalid clang path: %s cannot be found.' % clang_cuda_compiler_path)
+ environ_cp['CLANG_CUDA_COMPILER_PATH'] = ''
+
+ # Set CLANG_CUDA_COMPILER_PATH
+ environ_cp['CLANG_CUDA_COMPILER_PATH'] = clang_cuda_compiler_path
+ write_action_env_to_bazelrc('CLANG_CUDA_COMPILER_PATH',
+ clang_cuda_compiler_path)
+
+
+def set_gcc_host_compiler_path(environ_cp):
+ """Set GCC_HOST_COMPILER_PATH."""
+ default_gcc_host_compiler_path = run_shell('which gcc || true')
+ cuda_bin_symlink = '%s/bin/gcc' % environ_cp.get('CUDA_TOOLKIT_PATH')
+
+ if os.path.islink(cuda_bin_symlink):
+ # os.readlink is only available in linux
+ default_gcc_host_compiler_path = run_shell('readlink %s' % cuda_bin_symlink)
+
+ ask_gcc_path = (
+ 'Please specify which gcc should be used by nvcc as the '
+ 'host compiler. [Default is %s]: ') % default_gcc_host_compiler_path
+ while True:
+ gcc_host_compiler_path = get_from_env_or_user_or_default(
+ environ_cp, 'GCC_HOST_COMPILER_PATH', ask_gcc_path,
+ default_gcc_host_compiler_path)
+
+ if os.path.exists(gcc_host_compiler_path):
+ break
+
+ # Reset and retry
+ print('Invalid gcc path. %s cannot be found' % gcc_host_compiler_path)
+ environ_cp['GCC_HOST_COMPILER_PATH'] = ''
+
+ # Set GCC_HOST_COMPILER_PATH
+ environ_cp['GCC_HOST_COMPILER_PATH'] = gcc_host_compiler_path
+ write_action_env_to_bazelrc('GCC_HOST_COMPILER_PATH', gcc_host_compiler_path)
+
+
+def set_tf_cuda_version(environ_cp):
+ """Set CUDA_TOOLKIT_PATH and TF_CUDA_VERSION."""
+ ask_cuda_version = (
+ 'Please specify the CUDA SDK version you want to use, '
+ 'e.g. 7.0. [Leave empty to default to CUDA %s]: ') % _DEFAULT_CUDA_VERSION
+
+ while True:
+ # Configure the Cuda SDK version to use.
+ tf_cuda_version = get_from_env_or_user_or_default(
+ environ_cp, 'TF_CUDA_VERSION', ask_cuda_version, _DEFAULT_CUDA_VERSION)
+
+ # Find out where the CUDA toolkit is installed
+ default_cuda_path = _DEFAULT_CUDA_PATH
+ if is_windows():
+ default_cuda_path = cygpath(
+ environ_cp.get('CUDA_PATH', _DEFAULT_CUDA_PATH_WIN))
+ elif is_linux():
+ # If the default doesn't exist, try an alternative default.
+ if (not os.path.exists(default_cuda_path)
+ ) and os.path.exists(_DEFAULT_CUDA_PATH_LINUX):
+ default_cuda_path = _DEFAULT_CUDA_PATH_LINUX
+ ask_cuda_path = ('Please specify the location where CUDA %s toolkit is'
+ ' installed. Refer to README.md for more details. '
+ '[Default is %s]: ') % (tf_cuda_version, default_cuda_path)
+ cuda_toolkit_path = get_from_env_or_user_or_default(
+ environ_cp, 'CUDA_TOOLKIT_PATH', ask_cuda_path, default_cuda_path)
+
+ if is_windows():
+ cuda_rt_lib_path = 'lib/x64/cudart.lib'
+ elif is_linux():
+ cuda_rt_lib_path = 'lib64/libcudart.so.%s' % tf_cuda_version
+ elif is_macos():
+ cuda_rt_lib_path = 'lib/libcudart.%s.dylib' % tf_cuda_version
+
+ cuda_toolkit_path_full = os.path.join(cuda_toolkit_path, cuda_rt_lib_path)
+ if os.path.exists(cuda_toolkit_path_full):
+ break
+
+ # Reset and retry
+ print('Invalid path to CUDA %s toolkit. %s cannot be found' %
+ (tf_cuda_version, cuda_toolkit_path_full))
+ environ_cp['TF_CUDA_VERSION'] = ''
+ environ_cp['CUDA_TOOLKIT_PATH'] = ''
+
+ # Set CUDA_TOOLKIT_PATH and TF_CUDA_VERSION
+ environ_cp['CUDA_TOOLKIT_PATH'] = cuda_toolkit_path
+ write_action_env_to_bazelrc('CUDA_TOOLKIT_PATH', cuda_toolkit_path)
+ environ_cp['TF_CUDA_VERSION'] = tf_cuda_version
+ write_action_env_to_bazelrc('TF_CUDA_VERSION', tf_cuda_version)
+
+
+def set_tf_cunn_version(environ_cp):
+ """Set CUDNN_INSTALL_PATH and TF_CUDNN_VERSION."""
+ ask_cudnn_version = (
+ '"Please specify the cuDNN version you want to use. '
+ '[Leave empty to default to cuDNN %s.0]: ') % _DEFAULT_CUDNN_VERSION
+
+ while True:
+ tf_cudnn_version = get_from_env_or_user_or_default(
+ environ_cp, 'TF_CUDNN_VERSION', ask_cudnn_version,
+ _DEFAULT_CUDNN_VERSION)
+
+ default_cudnn_path = environ_cp.get('CUDA_TOOLKIT_PATH')
+ ask_cudnn_path = (r'Please specify the location where cuDNN %s library is '
+ 'installed. Refer to README.md for more details. [Default'
+ ' is %s]:') % (tf_cudnn_version, default_cudnn_path)
+ cudnn_install_path = get_from_env_or_user_or_default(
+ environ_cp, 'CUDNN_INSTALL_PATH', ask_cudnn_path, default_cudnn_path)
+
+ # Result returned from "read" will be used unexpanded. That make "~"
+ # unusable. Going through one more level of expansion to handle that.
+ cudnn_install_path = os.path.realpath(
+ os.path.expanduser(cudnn_install_path))
+ if is_windows():
+ cudnn_install_path = cygpath(cudnn_install_path)
+
+ if is_windows():
+ cuda_dnn_lib_path = 'lib/x64/cudnn.lib'
+ cuda_dnn_lib_alt_path = 'lib/x64/cudnn.lib'
+ elif is_linux():
+ cuda_dnn_lib_path = 'lib64/libcudnn.so.%s' % tf_cudnn_version
+ cuda_dnn_lib_alt_path = 'libcudnn.so.%s' % tf_cudnn_version
+ elif is_macos():
+ cuda_dnn_lib_path = 'lib/libcudnn.%s.dylib' % tf_cudnn_version
+ cuda_dnn_lib_alt_path = 'libcudnn.%s.dylib' % tf_cudnn_version
+
+ cuda_dnn_lib_path_full = os.path.join(cudnn_install_path, cuda_dnn_lib_path)
+ cuda_dnn_lib_alt_path_full = os.path.join(cudnn_install_path,
+ cuda_dnn_lib_alt_path)
+ if os.path.exists(cuda_dnn_lib_path_full) or os.path.exists(
+ cuda_dnn_lib_alt_path_full):
+ break
+
+ # Try another alternative for Linux
+ if is_linux():
+ if subprocess.call(['which', 'ldconfig']):
+ ldconfig_bin = '/sbin/ldconfig'
+ else:
+ ldconfig_bin = 'ldconfig'
+ cudnn_path_from_ldconfig = run_shell(
+ r'%s -p | sed -n "s/.*libcudnn.so .* => \(.*\)/\\1/p"' % ldconfig_bin)
+ if os.path.exists('%s.%s' % (cudnn_path_from_ldconfig, tf_cudnn_version)):
+ cudnn_install_path = os.path.dirname(cudnn_path_from_ldconfig)
+ break
+
+ # Reset and Retry
+ print(
+ 'Invalid path to cuDNN %s toolkit. None of the following files can be '
+ 'found:' % tf_cudnn_version)
+ print(cuda_dnn_lib_path_full)
+ print(cuda_dnn_lib_alt_path_full)
+ if is_linux():
+ print('%s.%s' % (cudnn_path_from_ldconfig, tf_cudnn_version))
+
+ environ_cp['TF_CUDNN_VERSION'] = ''
+
+ # Set CUDNN_INSTALL_PATH and TF_CUDNN_VERSION
+ environ_cp['CUDNN_INSTALL_PATH'] = cudnn_install_path
+ write_action_env_to_bazelrc('CUDNN_INSTALL_PATH', cudnn_install_path)
+ environ_cp['TF_CUDNN_VERSION'] = tf_cudnn_version
+ write_action_env_to_bazelrc('TF_CUDNN_VERSION', tf_cudnn_version)
+
+
+def get_native_cuda_compute_capabilities(environ_cp):
+ """Get native cuda compute capabilities.
+
+ Args:
+ environ_cp: copy of the os.environ.
+ Returns:
+ string of native cuda compute capabilities, separated by comma.
+ """
+ device_query_bin = os.path.join(
+ environ_cp.get('CUDA_TOOLKIT_PATH'), 'extras/demo_suite/deviceQuery')
+ cmd = (r'"%s" | grep "Capability" | grep -o "[0-9]*\.[0-9]*" | sed '
+ '":a;{N;s/\\n/,/};ba"') % device_query_bin
+ try:
+ output = run_shell(cmd)
+ except subprocess.CalledProcessError:
+ output = ''
+ return output
+
+
+def set_tf_cuda_compute_capabilities(environ_cp):
+ """Set TF_CUDA_COMPUTE_CAPABILITIES."""
+ while True:
+ native_cuda_compute_capabilities = get_native_cuda_compute_capabilities(
+ environ_cp)
+ if not native_cuda_compute_capabilities:
+ default_cuda_compute_capabilities = _DEFAULT_CUDA_COMPUTE_CAPABILITIES
+ else:
+ default_cuda_compute_capabilities = native_cuda_compute_capabilities
+
+ ask_cuda_compute_capabilities = (
+ 'Please specify a list of comma-separated '
+ 'Cuda compute capabilities you want to '
+ 'build with.\nYou can find the compute '
+ 'capability of your device at: '
+ 'https://developer.nvidia.com/cuda-gpus.\nPlease'
+ ' note that each additional compute '
+ 'capability significantly increases your '
+ 'build time and binary size. [Default is: %s]' %
+ default_cuda_compute_capabilities)
+ tf_cuda_compute_capabilities = get_from_env_or_user_or_default(
+ environ_cp, 'TF_CUDA_COMPUTE_CAPABILITIES',
+ ask_cuda_compute_capabilities, default_cuda_compute_capabilities)
+ # Check whether all capabilities from the input is valid
+ all_valid = True
+ for compute_capability in tf_cuda_compute_capabilities.split(','):
+ if not re.match('[0-9]+.[0-9]+', compute_capability):
+ print('Invalid compute capability: ' % compute_capability)
+ all_valid = False
+
+ if all_valid:
+ break
+
+ # Reset and Retry
+ environ_cp['TF_CUDA_COMPUTE_CAPABILITIES'] = ''
+
+ # Set TF_CUDA_COMPUTE_CAPABILITIES
+ environ_cp['TF_CUDA_COMPUTE_CAPABILITIES'] = tf_cuda_compute_capabilities
+ write_action_env_to_bazelrc('TF_CUDA_COMPUTE_CAPABILITIES',
+ tf_cuda_compute_capabilities)
+
+
+def set_other_cuda_vars(environ_cp):
+ """Set other CUDA related variables."""
+ if is_windows():
+ # The following three variables are needed for MSVC toolchain configuration
+ # in Bazel
+ environ_cp['CUDA_PATH'] = environ_cp.get('CUDA_TOOLKIT_PATH')
+ environ_cp['CUDA_COMPUTE_CAPABILITIES'] = environ_cp.get(
+ 'TF_CUDA_COMPUTE_CAPABILITIES')
+ environ_cp['NO_WHOLE_ARCHIVE_OPTION'] = 1
+ write_action_env_to_bazelrc('CUDA_PATH', environ_cp.get('CUDA_PATH'))
+ write_action_env_to_bazelrc('CUDA_COMPUTE_CAPABILITIE',
+ environ_cp.get('CUDA_COMPUTE_CAPABILITIE'))
+ write_action_env_to_bazelrc('NO_WHOLE_ARCHIVE_OPTION',
+ environ_cp.get('NO_WHOLE_ARCHIVE_OPTION'))
+ write_to_bazelrc('build --config=win-cuda')
+ write_to_bazelrc('test --config=win-cuda')
+ else:
+ # If CUDA is enabled, always use GPU during build and test.
+ if environ_cp.get('TF_CUDA_CLANG') == '1':
+ write_to_bazelrc('build --config=cuda_clang')
+ write_to_bazelrc('test --config=cuda_clang')
+ else:
+ write_to_bazelrc('build --config=cuda')
+ write_to_bazelrc('test --config=cuda')
+
+
+def set_host_cxx_compiler(environ_cp):
+ """Set HOST_CXX_COMPILER."""
+ default_cxx_host_compiler = run_shell('which g++ || true')
+ ask_cxx_host_compiler = (
+ 'Please specify which C++ compiler should be used as'
+ ' the host C++ compiler. [Default is %s]: ') % default_cxx_host_compiler
+
+ while True:
+ host_cxx_compiler = get_from_env_or_user_or_default(
+ environ_cp, 'HOST_CXX_COMPILER', ask_cxx_host_compiler,
+ default_cxx_host_compiler)
+ if os.path.exists(host_cxx_compiler):
+ break
+
+ # Reset and retry
+ print('Invalid C++ compiler path. %s cannot be found' % host_cxx_compiler)
+ environ_cp['HOST_CXX_COMPILER'] = ''
+
+ # Set HOST_CXX_COMPILER
+ environ_cp['HOST_CXX_COMPILER'] = host_cxx_compiler
+ write_action_env_to_bazelrc('HOST_CXX_COMPILER', host_cxx_compiler)
+
+
+def set_host_c_compiler(environ_cp):
+ """Set HOST_C_COMPILER."""
+ default_c_host_compiler = run_shell('which gcc || true')
+ ask_c_host_compiler = (
+ 'Please specify which C compiler should be used as the'
+ ' host C compiler. [Default is %s]: ') % default_c_host_compiler
+
+ while True:
+ host_c_compiler = get_from_env_or_user_or_default(
+ environ_cp, 'HOST_C_COMPILER', ask_c_host_compiler,
+ default_c_host_compiler)
+ if os.path.exists(host_c_compiler):
+ break
+
+ # Reset and retry
+ print('Invalid C compiler path. %s cannot be found' % host_c_compiler)
+ environ_cp['HOST_C_COMPILER'] = ''
+
+ # Set HOST_C_COMPILER
+ environ_cp['HOST_C_COMPILER'] = host_c_compiler
+ write_action_env_to_bazelrc('HOST_C_COMPILER', host_c_compiler)
+
+
+def set_computecpp_toolkit_path(environ_cp):
+ """Set COMPUTECPP_TOOLKIT_PATH."""
+ ask_computecpp_toolkit_path = ('Please specify the location where ComputeCpp '
+ 'for SYCL %s is installed. [Default is %s]: '
+ ) % (_TF_OPENCL_VERSION,
+ _DEFAULT_COMPUTECPP_TOOLKIT_PATH)
+
+ while True:
+ computecpp_toolkit_path = get_from_env_or_user_or_default(
+ environ_cp, 'COMPUTECPP_TOOLKIT_PATH', ask_computecpp_toolkit_path,
+ _DEFAULT_COMPUTECPP_TOOLKIT_PATH)
+ if is_linux():
+ sycl_rt_lib_path = 'lib/libComputeCpp.so'
+ else:
+ sycl_rt_lib_path = ''
+
+ sycl_rt_lib_path_full = os.path.join(computecpp_toolkit_path,
+ sycl_rt_lib_path)
+ if os.path.exists(sycl_rt_lib_path_full):
+ break
+
+ print('Invalid SYCL %s library path. %s cannot be found' %
+ (_TF_OPENCL_VERSION, sycl_rt_lib_path_full))
+ environ_cp['COMPUTECPP_TOOLKIT_PATH'] = ''
+
+ # Set COMPUTECPP_TOOLKIT_PATH
+ environ_cp['COMPUTECPP_TOOLKIT_PATH'] = computecpp_toolkit_path
+ write_action_env_to_bazelrc('COMPUTECPP_TOOLKIT_PATH',
+ computecpp_toolkit_path)
+
+
+def set_mpi_home(environ_cp):
+ """Set MPI_HOME."""
+ cmd = ('dirname $(dirname $(which mpirun)) || dirname $(dirname $(which '
+ 'mpiexec)) || true')
+ default_mpi_home = run_shell(cmd)
+ ask_mpi_home = ('Please specify the MPI toolkit folder. [Default is %s]: '
+ ) % default_mpi_home
+ while True:
+ mpi_home = get_from_env_or_user_or_default(environ_cp, 'MPI_HOME',
+ ask_mpi_home, default_mpi_home)
+
+ if os.path.exists(os.path.join(mpi_home, 'include')) and os.path.exists(
+ os.path.join(mpi_home, 'lib')):
+ break
+
+ print('Invalid path to the MPI Toolkit. %s or %s cannot be found' %
+ (os.path.join(mpi_home, 'include'),
+ os.path.exists(os.path.join(mpi_home, 'lib'))))
+ environ_cp['MPI_HOME'] = ''
+
+ # Set MPI_HOME
+ environ_cp['MPI_HOME'] = str(mpi_home)
+
+
+def set_other_mpi_vars(environ_cp):
+ """Set other MPI related variables."""
+ # Link the MPI header files
+ mpi_home = environ_cp.get('MPI_HOME')
+ symlink_force('%s/include/mpi.h' % mpi_home, 'third_party/mpi/mpi.h')
+
+ # Determine if we use OpenMPI or MVAPICH, these require different header files
+ # to be included here to make bazel dependency checker happy
+ if os.path.exists(os.path.join(mpi_home, 'include/mpi_portable_platform.h')):
+ symlink_force(
+ os.path.join(mpi_home, 'include/mpi_portable_platform.h'),
+ 'third_party/mpi/mpi_portable_platform.h')
+ # TODO(gunan): avoid editing files in configure
+ sed_in_place('third_party/mpi/mpi.bzl', 'MPI_LIB_IS_OPENMPI=False',
+ 'MPI_LIB_IS_OPENMPI=True')
+ else:
+ # MVAPICH / MPICH
+ symlink_force(
+ os.path.join(mpi_home, 'include/mpio.h'), 'third_party/mpi/mpio.h')
+ symlink_force(
+ os.path.join(mpi_home, 'include/mpicxx.h'), 'third_party/mpi/mpicxx.h')
+ # TODO(gunan): avoid editing files in configure
+ sed_in_place('third_party/mpi/mpi.bzl', 'MPI_LIB_IS_OPENMPI=True',
+ 'MPI_LIB_IS_OPENMPI=False')
+
+ if os.path.exists(os.path.join(mpi_home, 'lib/libmpi.so')):
+ symlink_force(
+ os.path.join(mpi_home, 'lib/libmpi.so'), 'third_party/mpi/libmpi.so')
+ else:
+ raise ValueError('Cannot find the MPI library file in %s/lib' % mpi_home)
+
+
+def set_mkl():
+ write_to_bazelrc('build:mkl --define with_mkl_support=true')
+ write_to_bazelrc('build:mkl --define using_mkl=true')
+ write_to_bazelrc('build:mkl -c opt')
+ write_to_bazelrc('build:mkl --copt="-DEIGEN_USE_VML"')
+ print(
+ 'Add "--config=mkl" to your bazel command to build with MKL '
+ 'support.\nPlease note that MKL on MacOS or windows is still not '
+ 'supported.\nIf you would like to use a local MKL instead of '
+ 'downloading, please set the environment variable \"TF_MKL_ROOT\" every '
+ 'time before build.')
+
+
+def main():
+ # Make a copy of os.environ to be clear when functions and getting and setting
+ # environment variables.
+ environ_cp = dict(os.environ)
+
+ check_bazel_version('0.4.5')
+
+ reset_tf_configure_bazelrc()
+ cleanup_makefile()
+ setup_python(environ_cp)
+ run_gen_git_source(environ_cp)
+
+ if is_windows():
+ environ_cp['TF_NEED_GCP'] = '0'
+ environ_cp['TF_NEED_HDFS'] = '0'
+ environ_cp['TF_NEED_JEMALLOC'] = '0'
+ environ_cp['TF_NEED_OPENCL'] = '0'
+ environ_cp['TF_CUDA_CLANG'] = '0'
+
+ if is_macos():
+ environ_cp['TF_NEED_JEMALLOC'] = '0'
+
+ set_build_var(environ_cp, 'TF_NEED_JEMALLOC', 'jemalloc as malloc',
+ 'with_jemalloc', True)
+ set_build_var(environ_cp, 'TF_NEED_GCP', 'Google Cloud Platform',
+ 'with_gcp_support', False)
+ set_build_var(environ_cp, 'TF_NEED_HDFS', 'Hadoop File System',
+ 'with_hdfs_support', False)
+ set_build_var(environ_cp, 'TF_ENABLE_XLA', 'XLA JIT', 'with_xla_support',
+ False)
+ set_build_var(environ_cp, 'TF_NEED_VERBS', 'VERBS', 'with_verbs_support',
+ False)
+
+ set_action_env_var(environ_cp, 'TF_NEED_OPENCL', 'OpenCL', False)
+ if environ_cp.get('TF_NEED_OPENCL') == '1':
+ set_host_cxx_compiler(environ_cp)
+ set_host_c_compiler(environ_cp)
+ set_computecpp_toolkit_path(environ_cp)
+
+ set_action_env_var(environ_cp, 'TF_NEED_CUDA', 'CUDA', False)
+ if environ_cp.get('TF_NEED_CUDA') == '1':
+ set_tf_cuda_version(environ_cp)
+ set_tf_cunn_version(environ_cp)
+ set_tf_cuda_compute_capabilities(environ_cp)
+
+ set_tf_cuda_clang(environ_cp)
+ if environ_cp.get('TF_CUDA_CLANG') == '1':
+ # Set up which clang we should use as the cuda / host compiler.
+ set_clang_cuda_compiler_path(environ_cp)
+ else:
+ # Set up which gcc nvcc should use as the host compiler
+ # No need to set this on Windows
+ if not is_windows():
+ set_gcc_host_compiler_path(environ_cp)
+ set_other_cuda_vars(environ_cp)
+
+ set_build_var(environ_cp, 'TF_NEED_MPI', 'MPI', 'with_mpi_support', False)
+ if environ_cp.get('TF_NEED_MPI') == '1':
+ set_mpi_home(environ_cp)
+ set_other_mpi_vars(environ_cp)
+
+ set_cc_opt_flags(environ_cp)
+ set_mkl()
+
+
+if __name__ == '__main__':
+ main()